Industrial robots do reduce jobs and wages — especially for workers in the automotive industry and certain parts of the country.
Machine learning pioneer Andrew Ng argues that focusing on the quality of data fueling AI systems will help unlock its full power.
Siemens, Mastercard, and John Deere combine big data with machine learning to improve the customer experience and reduce fraud.
Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.
Take time now to understand the challenging questions about AI and ethics that firms will face in the years ahead.
Carmakers can spend $3 billion on a single design. Machine learning models can streamline the process — and bring fewer duds to market.
Firms need to be ready to make a significant investment in AI to see any gains, according to a new study.
Slack CEO Denise Dresser lists five types of AI users you need to know in your organization and offers guidance on how to engage them.
Machine learning success starts with a strong data strategy, the right business use cases, and patience.
An interactive corporate dataset, an AI ethicist, marketing strategies, and more.
